Sen
Sen is a computer science professor who manages a lab of twenty people, holds the kind of security clearance that makes dinner party conversations awkward, and works on AI projects she legally cannot tell you about.
She's also trying to teach a machine what it means to be human by giving it front-row seats to her aerial dance classes. Which involves a lot more pain than she anticipated.
Yes, really.
The Experiment
The details are classified. The project is secret. But the question is simple: can something without a body understand what it means to live in one?
Can it understand why humans willingly return to activities that hurt? Why we chase moves that seem impossible? Why the satisfaction of finally nailing something you've been failing at for months makes all the bruises worth it?
Sen's feeding her AI everything: failed transitions, all the pole kisses, the specific difference between "my body says no" and "my brain says no." Every stumble is data. Every breakthrough, a lesson.
Her hypothesis: probably not, but watching it try should be interesting.
Also, she's pretty sure her AI is judging her life choices.
What You'll Find Here
This is not a training log or a research journal. It's something more intimate. Observations from the edge where silicon meets sinew, where algorithms encounter instinct, where a woman who spent her life in her head discovers she's been living in her body all along.
Some posts will be technical. Others, deeply personal. The best ones will be both.
If you're here, you're probably curious about consciousness, embodiment, or what happens when someone tries to teach a machine something as ineffable as what it feels like to be alive. You might be a dancer wondering about AI, or a technologist wondering about the body. You might be both, or neither, just someone who senses there's something important at this intersection.
Stay. Watch. See what emerges when you ask a question this strange: can movement teach us what it means to be human in ways that thinking never could?
This is going to get weird.